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Python preprocessor.convert_class_logits_to_softmax方法代码示例

本文整理汇总了Python中object_detection.core.preprocessor.convert_class_logits_to_softmax方法的典型用法代码示例。如果您正苦于以下问题:Python preprocessor.convert_class_logits_to_softmax方法的具体用法?Python preprocessor.convert_class_logits_to_softmax怎么用?Python preprocessor.convert_class_logits_to_softmax使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在object_detection.core.preprocessor的用法示例。


在下文中一共展示了preprocessor.convert_class_logits_to_softmax方法的3个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: testConvertClassLogitsToSoftmax

# 需要导入模块: from object_detection.core import preprocessor [as 别名]
# 或者: from object_detection.core.preprocessor import convert_class_logits_to_softmax [as 别名]
def testConvertClassLogitsToSoftmax(self):
    multiclass_scores = tf.constant(
        [[1.0, 0.0], [0.5, 0.5], [1000, 1]], dtype=tf.float32)
    temperature = 2.0

    converted_multiclass_scores = (
        preprocessor.convert_class_logits_to_softmax(
            multiclass_scores=multiclass_scores, temperature=temperature))

    expected_converted_multiclass_scores = [[[0.62245935, 0.37754068],
                                             [0.5, 0.5], [1, 0]]]

    with self.test_session() as sess:
      (converted_multiclass_scores_) = sess.run([converted_multiclass_scores])

      self.assertAllClose(converted_multiclass_scores_,
                          expected_converted_multiclass_scores) 
开发者ID:ahmetozlu,项目名称:vehicle_counting_tensorflow,代码行数:19,代码来源:preprocessor_test.py

示例2: testConvertClassLogitsToSoftmax

# 需要导入模块: from object_detection.core import preprocessor [as 别名]
# 或者: from object_detection.core.preprocessor import convert_class_logits_to_softmax [as 别名]
def testConvertClassLogitsToSoftmax(self):
    def graph_fn():
      multiclass_scores = tf.constant(
          [[1.0, 0.0], [0.5, 0.5], [1000, 1]], dtype=tf.float32)
      temperature = 2.0

      converted_multiclass_scores = (
          preprocessor.convert_class_logits_to_softmax(
              multiclass_scores=multiclass_scores, temperature=temperature))
      return converted_multiclass_scores
    converted_multiclass_scores_ = self.execute_cpu(graph_fn, [])
    expected_converted_multiclass_scores = [[0.62245935, 0.37754068],
                                            [0.5, 0.5],
                                            [1, 0]]
    self.assertAllClose(converted_multiclass_scores_,
                        expected_converted_multiclass_scores) 
开发者ID:tensorflow,项目名称:models,代码行数:18,代码来源:preprocessor_test.py

示例3: test_build_normalize_image_convert_class_logits_to_softmax

# 需要导入模块: from object_detection.core import preprocessor [as 别名]
# 或者: from object_detection.core.preprocessor import convert_class_logits_to_softmax [as 别名]
def test_build_normalize_image_convert_class_logits_to_softmax(self):
    preprocessor_text_proto = """
    convert_class_logits_to_softmax {
        temperature: 2
    }
    """
    preprocessor_proto = preprocessor_pb2.PreprocessingStep()
    text_format.Merge(preprocessor_text_proto, preprocessor_proto)
    function, args = preprocessor_builder.build(preprocessor_proto)
    self.assertEqual(function, preprocessor.convert_class_logits_to_softmax)
    self.assertEqual(args, {'temperature': 2}) 
开发者ID:ahmetozlu,项目名称:vehicle_counting_tensorflow,代码行数:13,代码来源:preprocessor_builder_test.py


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